科研成果详情

Cyber-physical systems (CPS) are becoming increasingly ubiquitous with applications in diverse domains, e.g., structural health monitoring (SHM). Wireless sensor networks (WSNs) are being explored for adoption to improve the performance of centralized wired-based SHM. Existing work often separates the functions and designs of WSNs and civil/structural engineering SHM algorithms. These algorithms usually requires high-resolution data collection for the health monitoring tasks. However, the task becomes difficult because of inherent limitations of WSNs, such as low-bandwidth, unreliable wireless communication, and energy-constraint. In this paper, we proposes a data collection algorithm, which shows that changes (e.g., damage) in a physical structure affect computations and communications in the CPS. To make use of WSNs for SHM tasks, we focus on low-complexity data acquisitions that help reduce the total amount of data transmission. We propose a sensor collaborative algorithm suitable for a wireless sensor in making a damage- sensitive parameter to ensure whether or not it should (i) continue data acquisition at a high frequency and (ii) transmit the acquired data, thus extending system lifetime. The effectiveness of our algorithms is evaluated via a proof-of-concept CPS system implementation.